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This package contains the core components and protocols for creating, managing, and registering federated learning models using MLflow. It provides utilities for defining local learners, aggregation strategies, and integrating them with MLflow for tracking and deployment.
pip install model-store-interface
PyPI declares 4 unique dependency rules for this release. Environment markers are shown when supplied by the project.
==1.9>=2.19.0>=2.2.3model-store-interface publishes 1 wheel and 1 source archive for version 0.5.0. Wheel platform tags: any.
No version-specific Python classifiers are declared.
PyPI does not currently declare: license, project URL. PyDeps marks these fields as unknown instead of guessing values.
PyPI lists 5 releases with files. The first dated release is ; 5 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .
The project does not publish external project URLs in its PyPI metadata.